{"id":"W4392599303","doi":"10.5772/intechopen.114219","title":"The Utilization of Prairie-Based Blend Pellet Products Combined with Newly Commercial Phytochemicals (Feed Additives) to Mitigate Ruminant Methane Emission and Improve Animal Performance","year":2024,"lang":"en","type":"book-chapter","venue":"Veterinary medicine and science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Brookhaven National Laboratory; Prairie Oat Growers Association; Saskatchewan Forage Network; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Canola Development Commission; Ministry of Agriculture - Saskatchewan; Western Grains Research Foundation; U.S. Department of Energy","keywords":"Pellet; Ruminant; Methane; Methane emissions; Environmental science; Agronomy; Biology; Pasture; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004063882,0.0002499429,0.0003571742,0.00005282681,0.0003071376,0.00002889436,0.0002228939,0.00008387792,0.00002208768],"category_scores_gemma":[0.0001162916,0.00008318944,0.00002518231,0.0002523702,0.002059225,0.00009952494,0.0001538535,0.0001670202,0.000002334355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552533,"about_ca_system_score_gemma":0.00005970562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001689326,"about_ca_topic_score_gemma":0.000006606191,"domain_scores_codex":[0.9985359,0.00002641499,0.0002719443,0.0005670733,0.0003391356,0.0002594728],"domain_scores_gemma":[0.9991003,0.0002637351,0.0001650846,0.00009783766,0.0001925412,0.0001805388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001321746,0.00002617568,0.00003451748,0.000132824,0.00000688493,0.00001272946,0.0001159548,1.458599e-7,0.975143,0.0009375063,0.0009805573,0.02128793],"study_design_scores_gemma":[0.002920403,0.12324,0.05591855,0.008633081,0.0002628331,0.000318668,0.001197846,0.001432202,0.2796072,0.002211472,0.5225936,0.001664136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820479,0.0008688321,0.000001487425,0.01206542,0.0001264159,0.0006068161,0.00007436077,0.0000235264,0.004185271],"genre_scores_gemma":[0.9930044,0.0004171055,0.00005024365,0.0002030933,0.0001828909,0.00002168632,0.0000610075,0.000003183889,0.006056371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6955358,"threshold_uncertainty_score":0.7587301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856246386264779,"score_gpt":0.2762911373794061,"score_spread":0.2277286735167584,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}